Model Comparison

Gemini Diffusion vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini Diffusion outperforms in 1 benchmarks (HumanEval), while Qwen2.5 72B Instruct is better at 3 benchmarks (GPQA, LiveCodeBench, MBPP).

Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Gemini Diffusion

Input- tokens

Output- tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, while Qwen2.5 72B Instruct uses Qwen.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini Diffusion

Proprietary

Closed source

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Qwen2.5 72B Instruct was released on 2024-09-19.

Gemini Diffusion is 8 months newer than Qwen2.5 72B Instruct.

Gemini Diffusion

May 20, 2025

11 months ago

8mo newer

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Gemini Diffusion

View details

Google

Higher HumanEval score (89.6% vs 86.6%)

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Has open weights

Higher GPQA score (49.0% vs 40.4%)

Higher LiveCodeBench score (55.5% vs 30.9%)

Higher MBPP score (88.2% vs 76.0%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemini Diffusion	Qwen2.5 72B Instruct

FAQ

Common questions about Gemini Diffusion vs Qwen2.5 72B Instruct.

Which is better, Gemini Diffusion or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks. Gemini Diffusion is made by Google and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini Diffusion compare to Qwen2.5 72B Instruct in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for Gemini Diffusion and Qwen2.5 72B Instruct?

Gemini Diffusion supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini Diffusion and Qwen2.5 72B Instruct?

Key differences include licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Qwen2.5 72B Instruct?

Gemini Diffusion is developed by Google and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.